Models Added

### Qwen3.5-9B Qwen3.5-9B is a multimodal foundation model from the Qwen3.5 family, built to deliver strong reasoning, coding, and visual understanding within an efficient 9B-parameter architecture. It adopts a unified vision-language design with early fusion of multimodal tokens, enabling the model to process and reason across text and images within the same context. With balanced multimodal capability and efficient deployment requirements, Qwen3.5-9B is well suited for applications that combine visual analysis, coding assistance, and general reasoning. ### Seed-2.0-Lite Seed-2.0-Lite is a balanced model designed for high-frequency enterprise workloads, optimizing for both capability and cost efficiency. It surpasses the previous-generation Seed-1.8 in overall performance while maintaining stable, production-ready quality. The model supports long-context processing, multi-source information fusion, multi-step instruction execution, and high-fidelity structured outputs. It is well suited for enterprise scenarios such as unstructured data processing, content generation, search and recommendation, and data analysis, delivering reliable results while significantly reducing operational cost. **Enjoy it!**